Investigating the in vitro and in vivo anti-resorptive effects of herbal-and TCM-based extracts on Cathepsin K activity
Bibliographic record
Abstract
Osteoporosis is a chronic skeletal disease primarily affecting post-menopausal women and men over the age of 50. Current pharmacological interventions, such as bisphosphonates (BP) and denosumab, target the bone resorption process and have limitations in efficacy due to the disruption of important bone remodeling mechanisms and thus reducing bone formation and quality. Cathepsin K (CatK) is the major enzyme that is responsible for the breakdown of type I collagen in the bone matrix, therefore inhibitors of CatK have been a new approach to the treatment of osteoporosis without decreasing bone formation. Several active site CatK inhibitors such as odanacatib (ODN) have shown high efficacy in clinical trials, but were not approved due to risks of adverse effects. Adverse effects were postulated to be due to inhibition of CatK normal physiological as well as pathophysiological functions such as its part in the catabolism of essential growth hormones. Exosite inhibitors extracted from red sage plants, such as tanshinone IIA sulfonic sodium (T06) and dihydrotanshinone-1 (DHT-1) have so far shown a potent anti-resorptive effect while demonstrating an increased specificity in targeting the disease-related collagenase activity of CatK. These inhibitors are able to bind at a site on CatK to prevent collagenase activity while leaving other enzymatic activities unaltered. The major aim of my thesis will be to elucidate the in vitro and in vivo efficacy of herbal-based CatK inhibitors in the treatment of osteoporosis. The in vitro and in vivo efficacy of a pan-tanshinone-containing extracts of Salvia Milthorizoa (SM) , and a formulation used in Traditional Chinese medicine where SM is part of a multi-herbal combination (XLGB Pills), which will be compared against a standard-of-care bisphosphonate through the analysis of bone microstructural as well as CatK activity subsequent to these treatments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".